Model comparison
Claude Opus 4.8 vs Granite 4.0 Micro
Claude Opus 4.8 is the stronger model overall, scoring 60.7 to 28.8 on the Noometry Index. Granite 4.0 Micro costs 245× less per token, which makes it the better buy when Claude Opus 4.8's lead doesn't matter for your workload.
Last verified . 3 shared benchmarks.
Summary
- They share 3 benchmarks with published results for both. Claude Opus 4.8 scores higher in 5 categories and Granite 4.0 Micro in 0 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in math, where Claude Opus 4.8 leads 78.2 to 11.2.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 98.3% for Claude Opus 4.8 and 2.8% for Granite 4.0 Micro.
- Granite 4.0 Micro is cheaper at $0.017 / $0.11 per million input/output tokens, against $5 / $25 for Claude Opus 4.8.
- Claude Opus 4.8 accepts more context: 1M tokens versus 131K.
- Granite 4.0 Micro has downloadable open weights; the other is API-only.
Side by side
| Claude Opus 4.8 | Granite 4.0 Micro | |
|---|---|---|
| Provider | Anthropic | IBM |
| Noometry Index | 60.7 | 28.8 |
| Released | 2026-05-28 | 2025-10-02 |
| Weights | Proprietary | Open |
| Context window | 1M | 131K |
| Max output | 128K | 118K |
| Input $ / M tokens | $5 | $0.017 |
| Output $ / M tokens | $25 | $0.11 |
| Results tracked | 65 | 8 |
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Category by category
Coding Not comparable
Claude Opus 4.8: 60.2 (#9), Granite 4.0 Micro: —
| Benchmark | Claude Opus 4.8 | Granite 4.0 Micro |
|---|---|---|
| DeepSWE | 59% | — |
| FrontierCode | 46.5% | — |
| LMArena WebDev | 1556 | — |
| SciCode | 53.5% | — |
| GSO | 47.1% | — |
| WeirdML | 82.9% | — |
| LMArena Coding | 1491 | — |
| ALE-Bench | 1,564 | — |
Agentic & Tool Use Not comparable
Claude Opus 4.8: 47.6 (#10), Granite 4.0 Micro: —
| Benchmark | Claude Opus 4.8 | Granite 4.0 Micro |
|---|---|---|
| APEX-Agents | 48.9% | — |
| OSWorld 2.0 | 20.6% | — |
| Remote Labor Index | 8.3% | — |
| τ²-bench Banking | 39.7% | — |
| DeepResearch Bench | 50.2% | — |
| PostTrainBench | 33.8% | — |
| GBAEval | 70.9% | — |
| GDP.pdf | 24% | — |
| LMArena Search | 1204 | — |
| Vending-Bench 2 | 5,787 | — |
Reasoning Claude Opus 4.8 leads
Claude Opus 4.8: 64.6 (#14), Granite 4.0 Micro: 18.5 (#261)
| Benchmark | Claude Opus 4.8 | Granite 4.0 Micro |
|---|---|---|
| Chess Puzzles | 34% | 0% |
| ARC-AGI-2 | 72.1% | — |
| SimpleBench | 64.8% | — |
| Kagi LLM Benchmark | 88.8% | — |
| NYT Connections (extended) | 91.1% | — |
| ARC-AGI-1 | 92.5% | — |
| CritPt | 20.9% | — |
| EnigmaEval | 23.5% | — |
| EBR-Bench | 28.6% | — |
| LMArena Hard Prompts | 1481 | — |
| Mystery Game Puzzles | 36% | — |
| DTBench | 94.9% | — |
| LMCA | 57.5% | — |
| Surface Evolver Bench | 87.5% | — |
| Bench to the Future 3 | 0.14 | — |
| Epoch Capabilities Index | 158.3 | — |
| ForecastBench | 59.9 | — |
Math Claude Opus 4.8 leads
Claude Opus 4.8: 78.2 (#11), Granite 4.0 Micro: 11.2 (#301)
| Benchmark | Claude Opus 4.8 | Granite 4.0 Micro |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 98.3% | 2.8% |
| FrontierMath (Tiers 1-3) | 80% | — |
| FrontierMath Tier 4 | 56.1% | — |
| MathArena Final-Answer Competitions | 91.8% | — |
| ProofBench | 69% | — |
| Omni-MATH | — | 20.9% |
| LMArena Math | 1487 | — |
| FrontierMath (Feb 2025 set) | 47.2% | — |
| FrontierMath Tier 4 (v1) | 31.3% | — |
Knowledge Claude Opus 4.8 leads
Claude Opus 4.8: 61.3 (#26), Granite 4.0 Micro: 9.9 (#299)
| Benchmark | Claude Opus 4.8 | Granite 4.0 Micro |
|---|---|---|
| GPQA Diamond | 91% | 28.3% |
| SimpleQA Verified | 53% | — |
| MMLU-Pro | — | 39.5% |
| GPQA (HELM) | — | 30.7% |
| LMArena Expert | 1501 | — |
Multimodal Not comparable
Claude Opus 4.8: 43.2 (#20), Granite 4.0 Micro: —
| Benchmark | Claude Opus 4.8 | Granite 4.0 Micro |
|---|---|---|
| LMArena Vision | 1295 | — |
| Blueprint-Bench 2 | 14.5% | — |
| Furniture Assembly | 42.5% | — |
| LMArena Document | 1475 | — |
Multilingual Not comparable
Claude Opus 4.8: 55.4 (#31), Granite 4.0 Micro: —
| Benchmark | Claude Opus 4.8 | Granite 4.0 Micro |
|---|---|---|
| LMArena Non-English | 1450 | — |
| LMArena Chinese | 1509 | — |
| LMArena French | 1482 | — |
| LMArena German | 1470 | — |
| LMArena Japanese | 1440 | — |
| LMArena Korean | 1432 | — |
| LMArena Russian | 1476 | — |
| LMArena Spanish | 1470 | — |
Instruction Following Claude Opus 4.8 leads
Claude Opus 4.8: 77.6 (#22), Granite 4.0 Micro: 70.0 (#164)
| Benchmark | Claude Opus 4.8 | Granite 4.0 Micro |
|---|---|---|
| IFEval | — | 84.9% |
| LMArena Instruction Following | 1476 | — |
Long Context Not comparable
Claude Opus 4.8: 45.4 (#37), Granite 4.0 Micro: —
| Benchmark | Claude Opus 4.8 | Granite 4.0 Micro |
|---|---|---|
| LMArena Longer Query | 1482 | — |
Writing & Preference Claude Opus 4.8 leads
Claude Opus 4.8: 72.1 (#17), Granite 4.0 Micro: 46.7 (#212)
| Benchmark | Claude Opus 4.8 | Granite 4.0 Micro |
|---|---|---|
| LMArena Text | 1460 | — |
| LMArena Creative Writing | 1453 | — |
| EQ-Bench Creative Writing | 1840 | — |
| WildBench | — | 67% |
| EQ-Bench 4 | 1281 | — |
| LMArena Multi-Turn | 1476 | — |
Frequently asked questions
Is Claude Opus 4.8 better than Granite 4.0 Micro?
Claude Opus 4.8 is the stronger model overall, scoring 60.7 to 28.8 on the Noometry Index. Granite 4.0 Micro costs 245× less per token, which makes it the better buy when Claude Opus 4.8's lead doesn't matter for your workload.
Which is cheaper, Claude Opus 4.8 or Granite 4.0 Micro?
Granite 4.0 Micro is cheaper. It lists at $0.017 per million input tokens and $0.11 per million output tokens; Claude Opus 4.8 lists at $5 and $25.
Which has the bigger context window?
Claude Opus 4.8 does, with 1M tokens against 131K.
How many benchmarks do Claude Opus 4.8 and Granite 4.0 Micro share?
3 benchmarks have published results for both models. Claude Opus 4.8 has 65 scored results on Noometry and Granite 4.0 Micro has 8.